Discover basic concepts in analytics and data visualization. Learn to derive insights and present them clearly.
Learning Mode: Learn at ALC or at Home
Detailed Course Curriculum
Hands-on module breakdown aligned with MKCL production standards and industry requirements.
Monthly Sales Performance Dashboard
Expense Tracker Update for Supermarket Dashboard
Enhancing Sales Dashboard with Slicers
Enhancing Sales Insights with Date Range Filters
Dynamic Data Integration for Supermarket Dashboard
Supermarket Sales Performance Dashboard
Visualizing Product Performance
Visualizing Supermarket Performance
Enhancing Sales Data Visualization with 100% Stacked Bar Charts in a Supermarket
Optimizing Sales Data Visualization
Enhancing Clarity in Sales Data Visualization
Visualizing Yearly Sales Trends for Three Products Using Excel Charts
Comparing the Effectiveness of 2D vs. 3D Stacked Area Charts for Data Presentation
Customizing Scatter Charts in Excel
Visualizing Sales, Marketing, and Finance Trends with Scatter Charts
Create and Customize Scatter Charts with Straight Lines
Excel Data Visualization Assignment
Creating a Combo Chart in Excel
Sales and Performance Data for Ten Individuals
Creating and Enhancing Dynamic Scatter Charts in Excel
Creating and Enhancing Excel Charts
Visualizing the 80-20 Rule with Excel’s Pareto Chart
Create and Customize Histograms for Sales Data Analysis
Create and Customize Geographical Data Visualizations
3D Geographical Mapping in Excel
Interactive Data Point Identification in Excel Scatter Charts
Integrating Dynamic Target Lines in Excel Charts
Create and Customize Data Visualizations for Clarity and Insight
Visualizing Year-Over-Year Changes with Trend Arrows in Excel Charts
Create and Customize Milestone Charts for Project Tracking
Create and Customize Dynamic Pareto Charts
Creating and Understanding Dynamic Pareto Charts in Excel
Creating and Understanding Dynamic Charts in Excel
Create and Customize a Speedometer Chart for Performance Tracking
Creating a Speedometer Chart
Creating and Analysing Excel Charts
Constructing and Customizing a Basic Bullet Chart in Excel
Creating Advanced Charts for Better Visualization
Dynamic Sales Dashboard
Advanced Conditional Formatting in Excel Dashboards
Advanced Dashboard Construction and Data Visualization in Excel
Advanced Dashboard Customization and Visualization
Creating an Interactive Expense Tracking Dashboard
Advanced Dashboard Construction and Optimization in Excel
Building and Customizing an Advanced Dashboard
Explore and Learn Advanced Data Visualization and Dashboard Enhancements in Excel
Creating and Customizing an Expense Tracking Dashboard
Sales & Profit Management Dashboard in Excel
Creating a Sales Dashboard with Advanced Visualizations in Excel
Creating an Interactive Sales Dashboard in Excel with Slicers and Timelines
TechMart Sales Analysis Dashboard
Regional Sales Performance Dashboard
Budget Monitoring Dashboard for Monthly Expenses
Enhancing Sales Performance with Pivot Tables and Slicers
Top Products and Employees Monthly Sales Analysis
Interactive Financial Performance Dashboard for ABC Finance Ltd
Interactive Sales Performance Dashboard for XYZ Retailers
Quarterly Sales Performance Dashboard for an Indian Retail Store
Automating Weekly Sales Report with Excel Macros
Monthly Delivery Performance Dashboard for Logistics Management
Monthly Sales Performance Dashboard for Top FMCG Products
Optimizing SuperMart’s Inventory and Sales Strategies Using Power BI
Quarterly Sales Performance Analysis of Product Categories
Regional Sales Performance Analysis for Last Month using Power BI
Analysing Textile Production Volumes Last Quarter Report
Enhancing Sales and Customer Experience with BI at Retail India Pvt Ltd
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
Ready to start Introduction to Data Analytics and Data Visualisation Essentials?
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MKCL Certified Program
Admissions Open 2026
Flexible Offline & Hybrid Batches
Course Overview
Duration:30 hours
Track:Data Science
Skill Level:Foundation
Language:English
Mode:Learn at ALC or at Home
Certificate:Official MKCL
Key Course Highlights:
Create comprehensive and interactive Excel dashboards for sales performance, expense tracking, and supermarket analytics.
Utilize advanced Excel features such as slicers, filters, and dynamic data integration to enhance dashboard functionality.
Create and customize 2D and 3D charts to effectively visualize data trends and comparisons.
Use advanced chart types like Pareto charts, histograms, and scatter charts to provide deeper insights into data.
Leverage Power BI to create dynamic and visually appealing reports.